abby-care
abby-care8h ago
New

Senior Manager, Data & Analytics

United StatesUnited States·San Franciscofull-timesenior
OtherData & Analytics
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Quick Summary

Key Responsibilities

Data & Analytics Roadmap: Define and execute the strategic roadmap for our data foundation, prioritizing investments that drive measurable business impact.

Requirements Summary

Industry Knowledge: Experience in healthcare (payer workflows, clinical quality, regulated environments) or other complex, operations-heavy industries (marketplaces, logistics, fintech).

Technical Tools
OtherData & Analytics

As Abby Care scales its support for family caregivers nationwide, robust data will serve as the engine driving our operations, product development, and clinical outcomes. To champion this vision, we are seeking a Senior Manager, Data & Analytics to act as a strategic player-coach, leading our analytics function and architecting the next evolution of our data foundation. Reporting directly to the Head of Engineering, you will guide a growing analytics team while partnering closely with Product, Engineering, Operations, Finance, and Clinical leadership. Your primary deliverables will center on establishing the company’s core data model and unified metrics framework, upgrading the reliability and accessibility of decision-critical data, and directly translating complex operational data into clear, actionable insights that drive cross-functional strategy.

Thriving in complexity, you are energized by the intricacies of a multifaceted platform spanning caregiver onboarding, care delivery, clinical workflows, and revenue. A rigorous systems-thinker, you are passionate about architecting a trusted, scalable data layer that serves as our single source of truth while bringing the analytical rigor needed to guide decision-making through our next stage of rapid growth. If you are ready to untangle complex operations and build the data playbook that ultimately transforms care at home for vulnerable populations, you will excel in this role.

This role is hybrid, with an expectation of working in person from our San Francisco office four days per week. combines

 
  • Data & Analytics Roadmap: Define and execute the strategic roadmap for our data foundation, prioritizing investments that drive measurable business impact.

  • Single Source of Truth: Standardize and govern core operating and clinical metrics, maintaining the central dashboards and reporting systems used to run the company.

  • Scalable Data Architecture: Partner with Engineering to build a unified, highly reliable data model aligned with our complex operational workflows.

  • Strategic Insights: Identify critical bottlenecks and shift the organization from reactive reporting to proactive, root-cause decision-making.

  • Cross-Functional Partnership: Collaborate with leadership across Product, Operations, and Clinical teams to translate ambiguous business problems into actionable data strategies.

  • AI Enablement: Apply AI tools to accelerate analytics productivity and establish the data layer required for future AI and machine learning capabilities.

  • Team Leadership: Recruit, mentor, and establish high standards of technical rigor for a growing, high-performing analytics team.

  • Hands-On Execution: Lead by example by actively contributing to complex SQL analysis, data modeling, metric design, and strategic investigations.

  • You successfully lead, grow, and mentor an analytics function that thrives during our most critical stage of growth.

  • You build and maintain the core data foundation necessary to run a true AI-native healthcare platform.

  • You work hand-in-hand with executive leadership, ensuring data sits at the heart of every major decision regarding operations, clinical quality, and product.

  • You reimagine our workflows by actively applying cutting-edge AI to how we analyze data and make decisions.

  • Your solutions will solve high-stakes problems that translate directly to better, more effective care for families across the country.

  • 8+ years in analytics, data science, or business intelligence, with proven experience managing or mentoring technical data teams.

  • Demonstrated ownership of a data roadmap that delivered measurable business outcomes.

  • Advanced proficiency in SQL, data modeling, metric design, and complex analytical problem-solving.

  • Strong experience operating within modern data environments (e.g., Snowflake, BigQuery, dbt, Looker, Tableau).

  • Proven ability to align cross-functional teams, influence senior leadership, and establish clear definitions in complex environments.

  • Exceptional ability to balance speed, rigor, and scale while thriving in ambiguous, fast-paced, zero-to-one or early-scaling startups.

  • Equally energized by developing people, architecting strategy, and rolling up your sleeves to execute the work.

Requirements

~1 min read
  • Industry Knowledge: Experience in healthcare (payer workflows, clinical quality, regulated environments) or other complex, operations-heavy industries (marketplaces, logistics, fintech).

  • Complex Data Systems: Deep familiarity with lifecycle analytics, event-driven systems, and multi-system data environments.

  • AI-Forward Analytics: Experience building data foundations that support AI/ML, and a strong interest in leveraging AI for analytics workflows (automation, copilots, proactive monitoring).

  • Strategic Planning: A track record of supporting executive-level company planning, forecasting, and operating reviews.

  • Relentlessly Resourceful
    As an ambitious startup, we adapt quickly and make the most of limited time and resources. We solve challenges with creativity to deliver results without unnecessary complexity.

  • Purpose with Positivity
    We take our mission seriously while never losing sight of the people behind the work. Respect, kindness, memes, and coffee make us stronger as a team and better for the families we serve.

  • Driven to Redefine What’s Possible
    We are here to make healthcare better, which means asking hard questions, challenging outdated systems, and finding smarter, more compassionate ways to deliver care.

  • Automated Decision Tools

    Abby Care may use automated decision tools to help match and rank candidate work experience, education and skills found in online profiles, resumes and job applications against job requirements. We believe that these tools help ensure objective, data-based decisions during the hiring process, however, all Abby Care hiring decisions involve final human review and input. If you have questions or would like to request an alternative process, contact talent@abbycare.org.

    Location & Eligibility

    Where is the job
    San Francisco, United States
    Hybrid — some on-site time required
    Who can apply
    US

    Listing Details

    Posted
    July 16, 2026
    First seen
    July 16, 2026
    Last seen
    July 16, 2026

    Posting Health

    Days active
    0
    Repost count
    0
    Trust Level
    54%
    Scored at
    July 16, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
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    abby-careSenior Manager, Data & Analytics